日立数据系统 (Hitachi) - 全球制造商将良率提高 90%
---Global-Manufacturers-Improve-Yield-by-90-Percent.png "Hitachi Data Systems (Hitachi) - Global Manufacturers Improve Yield by 90 Percent - IoT ONE Case Study")
技术
- 分析与建模 - 大数据分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 设备与机械
适用功能
- 离散制造
用例
- 过程控制与优化
客户
未公开
关于客户
全球制造商
挑战
该公司的聚合物混合工艺生产的产品质量不稳定，产量有时会低至 50% 或 60%。不良批次的报废造成了巨大的成本，并削弱了生产能力。除了一系列生产参数的变化外，其根本原因还在于不断变化的产品规格。生产工程师无法使用传统方法稳定工艺，因为混合聚合物非常不稳定，而且每种新产品配方只会加剧问题。为了解决这个问题，这家全球制造商需要一种能够提供以下功能的解决方案： • 从机器、传感器、环境和其他来源获取和集成物联网 (IoT) 数据 • 通过关联发现关键因素和最佳工艺参数，可视化分析和优化算法 • 提供深入的流程洞察，实现日常决策支持和持续改进 • 通过机器学习动态和持续优化流程
解决方案
Hitachi 提供了一个先进的分析平台，该平台集成了广泛的生产数据和传感器数据输出，以可视化、分析和诊断混合过程。这种新的洞察力使生产工程团队能够了解大量变量的相关性和因果关系。通过添加机器学习功能，该解决方案能够进行持续的工艺调整，从而在几个月内提高产量。
收集的数据
Accuracy, Process Parameters, Product Lifecycle, Production Efficiency, Throughput Per Plant
运营影响
数量效益
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